The Connected Threat: Fraud Rings, ATO Patterns, and Payment Fraud Benchmarks
About the Webinar
Fraud rates improved on paper last quarter. But a better global average doesn’t mean your program is safe. Risk is shifting across industries, payment methods, and account types, and coordinated fraud rings are spreading losses across businesses that each see only a fragment of the attack. The teams most exposed right now are often the ones relying on network-wide benchmarks instead of asking where risk is actually concentrating in their own environment.
In this session, Sift experts will walk through the latest fraud data and explain what it means for how fraud teams set thresholds, monitor controls, and respond when customers are affected. The data covers fraud ring behavior, ATO concentration by industry, payment fraud by method and price point, and consumer retention after a fraud incident.
What You’ll Learn:
Why global averages can mask concentrated risk in specific industries, payment types, and account clusters, and how to benchmark your own program against the right comparisons
How coordinated fraud rings exploit partial visibility across merchants, and what signals indicate your team is seeing only part of a connected attack
Where ATO risk is actually growing despite an improving global average, and why authentication alone isn't enough when more than 65% of breached accounts had MFA enabled at compromise
How false-positive cost varies by industry (from $24 in Food and Delivery to $496 in Digital Commerce) and why blocking the wrong transaction carries real revenue consequences
What consumers expect after a fraud incident, and how detection speed and response quality directly affect whether customers stay, reduce trust, or leave permanently
Featured speakers
Brent Sleeper
Senior Product Marketing Manager
Jeremy Cannon
Trust & Safety Architect
Featured speakers
Brent Sleeper
Senior Product Marketing Manager